基于多元回归分析的肇州县地下水埋深影响因素分析  

INFLUENCING FACTORS ANALYSIS OF THE GROUNDWATER BURIAL DEPTH IN ZHAOZHOU COUNTY BASED ON MULTIVARIATE REGRESSION ANALYSIS METHOD

作　　者：李治军[1,2] 袁景明 崔越 靳亚红 LI Zhijun;YUAN Jingming;CUI Yue;JIN Yahong(School of Hydraulic&Electric-power,Heilongjiang University,Harbin 150080,China;Institute of Groundwater in Cold Region,Heilongjiang University,Harbin 150080,China;College of Water Conservancy and Civil Engineering,Inner Mongolia Agricultural University,Hohhot 010018,China)

机构地区：[1]黑龙江大学水利电力学院,哈尔滨150080 [2]黑龙江大学寒区地下水研究所,哈尔滨150080 [3]内蒙古农业大学水利与土木建筑工程学院,呼和浩特010018

出　　处：《内蒙古农业大学学报（自然科学版）》2021年第1期87-91,共5页Journal of Inner Mongolia Agricultural University(Natural Science Edition)

基　　金：国家科技支撑计划(2014BAD12B01-03).

摘　　要：选取肇州县8口长序列观测井的地下水埋深资料,利用ArcGIS中反距离权重法分析研究区的年内和年际地下水埋深的变化特征并利用SPSS(Statistical Product and Service Solutions)探究其影响因素,根据多元回归分析方法建立回归方程。结果表明:肇州县地下水变化类型为人工开采型;地下水埋深的空间分布特征大致为东北—西南;降水量变化与地下水埋深因受包气带厚度的影响存在滞后的现象。研究结果将为更加合理和科学地分配地下水资源提供依据,为肇州县地下水资源的可持续利用提供参考。Based on the groundwater depth data of 8 long-sequence observation wells in Zhaozhou County,the variation characteristics of the groundwater depth within and between the years of the investigation area were analyzed by using the inverse distance weight method in ArcGIS,and the influencing factors were explored by SPSS(Statistical Product and Service Solutions) software,and the regression equation was established by using the multiple regression analysis method.The results showed that the groundwater change type in Zhaozhou County was an artificial exploitation,and the spatial distribution characteristics of the groundwater depth were roughly from northeast to southwest.There was a hysteresis phenomenon between the precipitation change and groundwater depth due to the influence from the thickness of the vadose zone.The results provided a basis for a more rational and scientific distribution of groundwater resources and a reference for the sustainable utilization of the groundwater resources in Zhaozhou County.

关 键 词：地下水埋深 反距离权重法 多元回归分析 影响因素 

分 类 号：P641[天文地球—地质矿产勘探]